lm-human-preferences
DALLE-mtf
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lm-human-preferences | DALLE-mtf | |
---|---|---|
8 | 41 | |
1,109 | 435 | |
5.6% | 0.0% | |
2.7 | 0.0 | |
9 months ago | about 2 years ago | |
Python | Python | |
MIT License | MIT License |
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lm-human-preferences
- Ask HN: Open-source GPT-3 alternatives
- El éxito continuo de OpenAI: Y como llegaron a crear la IA más avanzada del 2023. ChatGPT.
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Sam Altman on the best and worst case scenario for AI - "...the good case is just so unbelievably good that you sound like a really crazy person to start talking about it."
Lest you think that that sounds like a too galaxy-brained possibility, it has already happened at OpenAI (scroll down to "Bugs can optimize for bad behavior"), just with a model that was very far from being capable enough to be dangerous.
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Value head in GPT2
Found relevant code at https://github.com/openai/lm-human-preferences + all code implementations here
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Should we stick to the devil we know?
That's why, when they're serious, they use RL for finetuning from human preferences (would be hilarious if this attempt to solve the terrible bias you take to be evidence of AGI threat ends up creating a Woke Singleton itself, btw); it's a powerful general approach, and I see no sign of it being applied here.
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Dall-E 2
The kind of measures they are taking, like simply deleting wholesale anything problematic, don't really have a '-1'.
But amusingly, exactly that did happen in one of their GPT experiments! https://openai.com/blog/fine-tuning-gpt-2/
- Discussion Thread
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[D] Applications for using reinforcement learning to fine-tune GPT-2
Code for https://arxiv.org/abs/1909.08593 found: https://github.com/openai/lm-human-preferences
DALLE-mtf
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How Open is Generative AI? Part 2
This vision is in line with EleutherAI, a non-profit organization founded in July 2020 by a group of researchers. Driven by the perceived opacity and the challenge of reproducibility in AI, their goal was to create leading open-source language models.
- The open source learning curve for AI researchers
- EleutherAI: Empowering Open-Source Artificial Intelligence Research
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Seeking advice on fine-tuning Pythia for semantic search in a non-English language
My current idea is to utilize the EleutherAI pythia (Databricks Dolly). I would like to know whether translating the Dolly-15k dataset into the desired language using state-of-the-art translation techniques like DeepL would be a viable approach to fine-tune the Pythia base model. I want to use this model for semantic search, so perfection is not a necessity.
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Does anyone want to collaborate to make anti-capitalist AI?
There are open source AI efforts, like EleutherAI. Needless to say, they are lagging behind big players, but it's better than nothing.
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ChatGPT is bonkers.
The new GPT 3.5 isn't aware what are GPT-3.5 or davinci-002 (repeatable) and claimed that it was designed by EleutherAI and has only 6 bil parameters (wasn't been able to repeat but didn't really try).
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My teacher has falsely accused me of using ChatGPT to use an assignment.
Hi, my name is Stella Biderman and I run EleutherAI, the one of the foremost non-profit research institutes in the world that trains and studies large language models. I have been involved with the majority of models to hold the title “largest open source GPT model in the world” and have dabbled in exploring using plagiarism detection tools to identify code written by GPT-J.
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dolly-v2-12b
dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA)
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Futurism: "The Company Behind Stable Diffusion Appears to Be At Risk of Going Under"
It is true that Emad needs to find an appropriate business model. The good news is that the hype is still undergoing. I'm sure that Emad can grab another round of liquidity injection. He got plenty of resources. Remember he is also from the finance industry. He got https://www.eleuther.ai/ which can supply a secured, in-house custom LLM equivalent to bloombergGPT.
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How can AI be used to protect against exploitative use of other AI?
By promoting fully open-source AI, i.e. making datasets, models, methodology and codebases freely available and transparent. What OpenAI claimed to be aiming for, basically.
What are some alternatives?
trl - Train transformer language models with reinforcement learning.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
GLM-130B - GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)
CLIP-Guided-Diffusion - Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.
dalle-mini - DALL·E Mini - Generate images from a text prompt
tensorrtx - Implementation of popular deep learning networks with TensorRT network definition API
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
glide-text2im - GLIDE: a diffusion-based text-conditional image synthesis model
gpt-3 - GPT-3: Language Models are Few-Shot Learners
gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch